Micron Technology has reported record financial results for its fiscal fourth quarter of 2026, with revenue reaching $54.23 billion as demand for memory products used in artificial intelligence infrastructure continues to accelerate.
The U.S. semiconductor company also issued strong guidance for its next fiscal quarter, highlighting the rapidly growing demand for high-bandwidth memory and other advanced memory products used in AI computing systems.
Micron Revenue Reaches $54.23 Billion
Micron reported fiscal fourth-quarter revenue of $54.23 billion for the quarter ended September 3, 2026.
The figure was significantly higher than the $41.46 billion recorded in the previous quarter and compared with $11.32 billion in the same quarter a year earlier.
Micron also reported GAAP net income of $37.70 billion, or $32.87 per diluted share, for the quarter.
Non-GAAP net income reached $38.40 billion, or $33.42 per diluted share.
AI Data Centers Drive Memory Demand
Artificial intelligence has become a major source of demand for advanced memory products.
Modern AI data centers use large quantities of high-performance memory to support processors that train and run increasingly complex AI models.
High-bandwidth memory, commonly known as HBM, is particularly important because it allows AI processors to access large amounts of data at very high speeds.
Micron is one of the major suppliers of HBM alongside South Korea's SK Hynix and Samsung Electronics.
Orders Are Outpacing Available Capacity
Micron's latest results come as demand for AI-related memory continues to rise faster than available manufacturing capacity.
Reuters reported that Micron's long-term supply agreements increased to approximately $32 billion, up from $22 billion in June. The agreements are largely supported by customer cash deposits.
The company has also indicated that it expects supply-demand conditions to remain tight during fiscal 2027 and 2028.
This situation reflects the rapid expansion of AI computing infrastructure around the world.
Micron Raises Expectations for Fiscal 2027
For the first quarter of fiscal 2027, Micron expects revenue of approximately $61.5 billion, with a possible variation of $1.5 billion above or below that figure.
The company expects a GAAP gross margin of approximately 85.95% and a non-GAAP gross margin of approximately 86.25%.
Micron's guidance indicates that demand for memory products is expected to remain strong as cloud providers and technology companies continue expanding AI infrastructure.
Core Data Center Business Expands
Micron's Core Data Center business generated $18.00 billion in revenue during fiscal fourth quarter 2026.
That compared with $11.52 billion in the previous quarter and $1.58 billion in the same quarter a year earlier.
The business reported an operating margin of 85% during the quarter, reflecting the strong demand and pricing environment for memory products used in data centers.
The company's Cloud Memory Business generated another $16.28 billion in quarterly revenue.
Full-Year Revenue Hits $133.19 Billion
For the full fiscal year 2026, Micron reported revenue of $133.19 billion.
That compares with $37.38 billion during fiscal 2025.
GAAP net income for the full year reached $84.97 billion, while non-GAAP net income was $86.76 billion.
Micron's full-year capital expenditure was approximately $27.37 billion, showing the scale of investment required to expand semiconductor manufacturing capacity.
Micron Plans Large U.S. Investments
Micron is also expanding its manufacturing footprint in the United States.
The company has announced a long-term plan involving more than $250 billion of investment in U.S. facilities through 2035, according to recent reporting.
New manufacturing capacity is expected to help Micron respond to growing demand for memory products while strengthening the domestic semiconductor supply chain.
The company is also developing additional manufacturing capacity in Japan.
HBM Becomes Critical for AI Infrastructure
High-bandwidth memory has become one of the most important components in modern AI computing systems.
AI accelerators require extremely fast access to large amounts of data. HBM combines multiple memory layers into compact packages and provides high data-transfer performance.
As AI models become larger and data centers deploy more accelerators, demand for HBM is increasing rapidly.
However, HBM production uses manufacturing capacity that overlaps with other types of DRAM memory. Increasing HBM output can therefore affect the supply of conventional memory products.
AI Expansion Changes the Memory Industry
The AI boom is changing the structure of the global memory industry.
Traditional memory demand has historically been closely linked to smartphones, computers and conventional servers. AI data centers are now creating another large source of demand.
This shift is encouraging memory manufacturers to invest heavily in advanced production technology and packaging capacity.
Companies building AI infrastructure are also seeking longer-term supply agreements to secure access to critical memory components.
Micron Develops New Memory Technologies
Micron is continuing to develop new memory products designed for AI servers and other high-performance computing applications.
The company has also begun sampling next-generation LPDDR6 products for physical AI applications.
These technologies could be used in future systems where AI processing takes place closer to the physical environment, including advanced robotics and other edge-computing applications.
Why Memory Has Become a Key AI Component
AI processors receive significant attention because they perform the calculations required to train and run AI models, but memory is equally important for moving data quickly between different parts of a computing system.
Without sufficient high-speed memory capacity, powerful AI processors cannot operate at their full potential.
This has turned memory manufacturers into an important part of the global AI infrastructure expansion.
What Comes Next for Micron
Micron enters fiscal 2027 with strong demand for its data-center memory products and plans to increase manufacturing capacity.
The company's next phase will involve balancing rapidly growing AI demand with the time and investment required to build new semiconductor facilities.
Micron expects supply conditions to remain tight in the coming fiscal years, while customers are securing long-term agreements for future memory production.
The latest results show how the AI infrastructure boom is affecting not only processor manufacturers but also the global memory semiconductor industry.
With AI data centers requiring increasingly large quantities of high-performance memory, Micron's production expansion and technology development will remain closely connected to the next phase of global AI infrastructure growth.
Journalist: Vijay Singh